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Table Data - Housing Inventory: Median Home Size in Square Feet in Windham County, CT

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Title Housing Inventory: Median Home Size in Square Feet in Windham County, CT
Series ID MEDSQUFEE9015
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-02-01
Last Updated 2024-03-21 1:47 PM CDT
Notes The median home size in square feet for listings in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library.

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library.
DATE VALUE
2016-07-01 1615
2016-08-01 1618
2016-09-01 1643
2016-10-01 1637
2016-11-01 1666
2016-12-01 1625
2017-01-01 1640
2017-02-01 1619
2017-03-01 1615
2017-04-01 1620
2017-05-01 1648
2017-06-01 1707
2017-07-01 1622
2017-08-01 1650
2017-09-01 1680
2017-10-01 1694
2017-11-01 1647
2017-12-01 1600
2018-01-01 1574
2018-02-01 1512
2018-03-01 1537
2018-04-01 1573
2018-05-01 1598
2018-06-01 1600
2018-07-01 1600
2018-08-01 1600
2018-09-01 1600
2018-10-01 1600
2018-11-01 1600
2018-12-01 1600
2019-01-01 1600
2019-02-01 1600
2019-03-01 1617
2019-04-01 1641
2019-05-01 1717
2019-06-01 1776
2019-07-01 1780
2019-08-01 1776
2019-09-01 1769
2019-10-01 1769
2019-11-01 1768
2019-12-01 1740
2020-01-01 1730
2020-02-01 1750
2020-03-01 1710
2020-04-01 1788
2020-05-01 1726
2020-06-01 1719
2020-07-01 1671
2020-08-01 1726
2020-09-01 1761
2020-10-01 1778
2020-11-01 1921
2020-12-01 1843
2021-01-01 1764
2021-02-01 1733
2021-03-01 1684
2021-04-01 1680
2021-05-01 1670
2021-06-01 1724
2021-07-01 1819
2021-08-01 1786
2021-09-01 1708
2021-10-01 1740
2021-11-01 1632
2021-12-01 1475
2022-01-01 1455
2022-02-01 1495
2022-03-01 1600
2022-04-01 1715
2022-05-01 1745
2022-06-01 1776
2022-07-01 1776
2022-08-01 1788
2022-09-01 1776
2022-10-01 1784
2022-11-01 1869
2022-12-01 1836
2023-01-01 1896
2023-02-01 1864
2023-03-01 1784
2023-04-01 1836
2023-05-01 1848
2023-06-01 1850
2023-07-01 1855
2023-08-01 1875
2023-09-01 1808
2023-10-01 1756
2023-11-01 1760
2023-12-01 1715
2024-01-01 1715
2024-02-01 1715

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